from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	List[str]:







 '''simple docstring'''
 UpperCamelCase			  =      k_size // 2
 UpperCamelCase  ,     UpperCamelCase			  =      mgrid[0 - center : k_size - center, 0 - center : k_size - center]
 UpperCamelCase			  =      1 / (2 * pi * sigma) * exp(-(square(UpperCamelCase_       ) + square(UpperCamelCase_       )) / (2 * square(UpperCamelCase_       ))       )
 return g





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )		->	List[str]:







 '''simple docstring'''
 UpperCamelCase  ,     UpperCamelCase			  =      image.shape[0], image.shape[1]
 # dst image height and width
 UpperCamelCase			  =      height - k_size + 1
 UpperCamelCase			  =      width - k_size + 1

 # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
 UpperCamelCase			  =      zeros((dst_height * dst_width, k_size * k_size)       )
 UpperCamelCase			  =      0
 for i, j in product(range(UpperCamelCase_       )							,					range(UpperCamelCase_       )       ):
  UpperCamelCase			  =      ravel(image[i : i + k_size, j : j + k_size]       )
  UpperCamelCase			  =      window
  row += 1

 #  turn the kernel into shape(k*k, 1)
 UpperCamelCase			  =      gen_gaussian_kernel(UpperCamelCase_							,					UpperCamelCase_       )
 UpperCamelCase			  =      ravel(UpperCamelCase_       )

 # reshape and get the dst image
 UpperCamelCase			  =      dot(UpperCamelCase_							,					UpperCamelCase_       ).reshape(UpperCamelCase_							,					UpperCamelCase_       ).astype(UpperCamelCase_       )

 return dst


if __name__ == "__main__":
     # read original image
     _SCREAMING_SNAKE_CASE 		=      imread(r"""../image_data/lena.jpg""")
     # turn image in gray scale value
     _SCREAMING_SNAKE_CASE 		=      cvtColor(img, COLOR_BGR2GRAY)

     # get values with two different mask size
     _SCREAMING_SNAKE_CASE 		=      gaussian_filter(gray, 3, sigma=1)
     _SCREAMING_SNAKE_CASE 		=      gaussian_filter(gray, 5, sigma=0.8)

     # show result images
     imshow("""gaussian filter with 3x3 mask""", gaussianaxa)
     imshow("""gaussian filter with 5x5 mask""", gaussianaxa)
     waitKey()

_SCREAMING_SNAKE_CASE 		=      9.8_06_65





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_ = g       )		->	float:







 '''simple docstring'''

 if fluid_density <= 0:
  raise ValueError("""Impossible fluid density"""       )
 if volume < 0:
  raise ValueError("""Impossible Object volume"""       )
 if gravity <= 0:
  raise ValueError("""Impossible Gravity"""       )

 return fluid_density * gravity * volume


if __name__ == "__main__":
     import doctest

     # run doctest
     doctest.testmod()
